/** * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.hadoop.hive.ql.exec.spark; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.apache.hadoop.hive.ql.exec.MapredContext; import org.apache.hadoop.hive.ql.log.PerfLogger; import org.apache.hadoop.hive.ql.session.SessionState; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reporter; import java.io.IOException; import java.lang.management.ManagementFactory; import java.lang.management.MemoryMXBean; import java.net.URLClassLoader; import java.util.Arrays; import java.util.Iterator; public abstract class SparkRecordHandler { protected static final String CLASS_NAME = SparkRecordHandler.class.getName(); protected final PerfLogger perfLogger = SessionState.getPerfLogger(); private static final Logger LOG = LoggerFactory.getLogger(SparkRecordHandler.class); // used to log memory usage periodically protected final MemoryMXBean memoryMXBean = ManagementFactory.getMemoryMXBean(); protected JobConf jc; protected OutputCollector<?, ?> oc; protected Reporter rp; protected boolean abort = false; private long rowNumber = 0; private long nextLogThreshold = 1; public <K, V> void init(JobConf job, OutputCollector<K, V> output, Reporter reporter) throws Exception { jc = job; MapredContext.init(false, new JobConf(jc)); MapredContext.get().setReporter(reporter); oc = output; rp = reporter; LOG.info("maximum memory = " + memoryMXBean.getHeapMemoryUsage().getMax()); try { LOG.info("conf classpath = " + Arrays.asList(((URLClassLoader) job.getClassLoader()).getURLs())); LOG.info("thread classpath = " + Arrays.asList(((URLClassLoader) Thread.currentThread() .getContextClassLoader()).getURLs())); } catch (Exception e) { LOG.info("cannot get classpath: " + e.getMessage()); } } /** * Process row with key and single value. */ public abstract void processRow(Object key, Object value) throws IOException; /** * Process row with key and value collection. */ public abstract <E> void processRow(Object key, Iterator<E> values) throws IOException; /** * Logger processed row number and used memory info. */ protected void logMemoryInfo() { rowNumber++; if (rowNumber == nextLogThreshold) { long usedMemory = memoryMXBean.getHeapMemoryUsage().getUsed(); LOG.info("processing " + rowNumber + " rows: used memory = " + usedMemory); nextLogThreshold = getNextLogThreshold(rowNumber); } } public abstract void close(); public abstract boolean getDone(); /** * Logger information to be logged at the end. */ protected void logCloseInfo() { long usedMemory = memoryMXBean.getHeapMemoryUsage().getUsed(); LOG.info("processed " + rowNumber + " rows: used memory = " + usedMemory); } private long getNextLogThreshold(long currentThreshold) { // A very simple counter to keep track of number of rows processed by the // reducer. It dumps // every 1 million times, and quickly before that if (currentThreshold >= 1000000) { return currentThreshold + 1000000; } return 10 * currentThreshold; } public boolean isAbort() { return abort; } public void setAbort(boolean abort) { this.abort = abort; } }